Top Tech Jobs & Startup Jobs

Lead full-cycle recruiting for technical and non-technical roles, including direct sourcing, pipeline generation, interviews, employer branding, offer closing, and candidate experience. Partner with hiring managers and People & Culture teams, lead recruitment status meetings, and maintain applicant tracking system updates while achieving hiring and time-to-fill goals.

Leads the Search and Discovery engineering team, overseeing technical direction, full-stack solutions, software quality, and scalable system delivery. Responsibilities include coaching and developing engineers, managing performance, translating business priorities into technical plans, setting technology roadmaps, leading multiple projects, allocating resources, and collaborating across departments to remove delivery barriers.

Build, optimize, test, and deliver reliable, scalable software using Java, SQL, Spring Boot, REST APIs, and microservices. Develop low-latency transactional services, automate testing and integrations, investigate application data, and collaborate with product managers, architects, and developers in an agile environment. Own features from design and development through testing and delivery while following engineering best practices.

Build and evolve high-throughput backend systems and REST APIs for Priceline’s travel applications. Lead mission-critical projects, develop Java and Spring-based microservices, write SQL queries for real-time analysis, and design scalable cloud applications using GCP, Kubernetes, and Docker. Collaborate with cross-functional Agile teams, influence technical solutions, mentor engineers, communicate with stakeholders, and promote engineering best practices, continuous integration, and automated testing.

Build and operate secure, scalable MLOps and DataOps platforms on GCP. Responsibilities include Terraform-based infrastructure automation, CI/CD and GitOps pipelines, Kubernetes and ML platform operations, observability, incident response, security controls, governance, cost optimization, and self-service enablement for data and machine learning teams.

Build and optimize cloud-scale data infrastructure processing millions or billions of events. Responsibilities include cloud migration, data pipeline and workflow development, data modeling, analytics systems, troubleshooting, query development, and performance recommendations. The role uses GCP, Spark, Kafka, Dataflow, Dataproc, Airflow, databases, and Python, Java, or Scala, while collaborating with teams and mentoring junior engineers.

Manages and grows hotel partner accounts for Priceline and Agoda by acquiring suppliers, negotiating agreements, optimizing pricing and availability, analyzing market and performance data, and increasing bookings and revenue. The role builds long-term relationships, presents strategic recommendations, trains partners on platform tools, collaborates on market initiatives, and represents the companies at industry events. Travel of up to 30% is required.

Serves as the liaison between Reporting and Analytics and Finance stakeholders, managing requests, priorities, workflows, and reporting visibility. Configures ticketing tools, coordinates with Data Engineering and Finance, analyzes request metrics, and uses Tableau, SQL, BigQuery, OBIEE/OAS, data warehousing, and BI concepts to understand requirements and support ad hoc queries.

Own technology finance planning, budgeting, forecasting, reporting, month-end close support, variance analysis, dashboards, ROI analysis, and cost optimization. Partner with the CTO, technology leaders, engineering, procurement, accounting, and legal teams to evaluate technology spending, manage vendor contracts, and improve FP&A reporting processes.

Conduct end-to-end UX research for Priceline’s website and app, including research planning, participant recruitment, qualitative studies, analytics integration, analysis, and insight presentation. Identify customer needs, guide product opportunities, influence roadmaps, facilitate workshops, and advocate for research throughout the product lifecycle. Collaborate with stakeholders and use storytelling and AI workflows to deliver actionable improvements and business impact.